Teradyne (TER) Depreciation and Depletion (2009 - 2026)
Teradyne's Depreciation and Depletion was $31.37 million in Q3 2026, up 17.7% from $26.65 million a year earlier and up 9.5% from the prior quarter.
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Analysis
Teradyne (TER) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Teradyne's Depreciation and Depletion was $122.22 million through Sep 27, 2026, up 15.3% year-over-year; for FY2025, it came in at $111.45 million, up 10.3% from FY2024.
- Depreciation and Depletion has now increased for three consecutive years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $101 million in FY2024 (+9.6%), $92.12 million in FY2023 (+1.5%), $90.8 million in FY2022 (-0.3%) and $91.1 million in FY2021 (+13.7%).
- Quarterly Depreciation and Depletion has moved between $21.96 million (Q2 2022) and $31.96 million (Q4 2025) over five years.
- Compared with a year earlier, Depreciation and Depletion has increased for 15 straight quarters, with growth averaging 12.0% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2025 (growth of 20.5%); the worst was Q1 2022 (a decline of 5.9%).
- Per Business Quant data, TER's Depreciation and Depletion in the three quarters before Q3 2026 was $28.64 million (Q2 2026), $30.24 million (Q1 2026) and $31.96 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | - |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | - |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | - |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | - |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | - |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | - |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | - |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | - |
| 10 | Teradyne | 34.04 Bn | 32.65 Bn | 771.28 Mn | 31.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 31.37 Mn |
| Jun 28, 2026 | 28.64 Mn |
| Mar 29, 2026 | 30.24 Mn |
| Dec 31, 2025 | 31.96 Mn |
| Sep 28, 2025 | 26.65 Mn |
| Jun 29, 2025 | 27.31 Mn |
| Mar 30, 2025 | 25.52 Mn |
| Dec 31, 2024 | 26.52 Mn |
| Sep 29, 2024 | 25.55 Mn |
| Jun 30, 2024 | 25.57 Mn |
| Mar 31, 2024 | 23.35 Mn |
| Dec 31, 2023 | 23.26 Mn |
| Oct 1, 2023 | 23.63 Mn |
| Jul 2, 2023 | 22.55 Mn |
| Apr 2, 2023 | 22.68 Mn |
| Dec 31, 2022 | 22.90 Mn |
| Oct 2, 2022 | 23.44 Mn |
| Jul 3, 2022 | 21.96 Mn |
| Apr 3, 2022 | 22.50 Mn |
| Dec 31, 2021 | 23.23 Mn |
API Access
Teradyne Depreciation and Depletion API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "TER", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();